Rolling Stock monitoring Smart maintenance and failure prediction for reliability improvement. Smartmotors.org

Transcription

1 Rolling Stock monitoring Smart maintenance and failure prediction for reliability improvement Smartmotors.org

2 Mission Improve availability Streamline maintenance costs Offer real-time information Trains collect high volumes of information useful for different departments of rail operators: energy, commercial exploitation, maintenance, etc. However, they are not usually transmitted off the train neither employed. Smart Motors has developed a solution to exploit this data. It offers the possibility to check service and maintenance status of trains in real time, a source to generate historical records. It also process this data to give added-value knowledge to the user. The solution leads to an improvement of the data available for operational uses, and streamlines maintenance costs thanks to conditionedbased maintenance plans.

3 Benefits Streamline maintenance budget Defining a conditioned-based maintenance plan Parameters and alarms recorded, together with adhoc calculations made by the software are used to research pathologies. The software points the cases in which additional data is required and sends the order, or directly proposes corrective actions. This procedure allows asset classification according to conservation status. All recorded data is valuable in terms of defining conditioned based maintenance plans for the different trains systems, adapted to the nature of the element, the intensity of use and the breakdown occurrence. This new scope used in maintenance aims to streamline human resources and costs. Defining conditioned-based maintenance plans aims to streamline costs

4 Benefits Focus on operators needs A solution which gives immediacy and helps decision-making This solution is valuable in terms of railway operation, increasing the visibility of the assets state and giving immediacy to the user. It helps the operator to give realtime responses thanks to historical data stored, together with up-to-date information. Through Rolling Stock monitoring on-field, the operator has access to a high variety of knowledge, such as: Real-time positioning System parameters Driver control panel Service details The displays can be adapted to a wide range of situations

5 System Architecture Apply Big Data to rolling stock operation and maintenance Easy to install and maintain Smart Motors solution is connected to the train communications network where it extracts data and sends it via 4G or WiFi. The extraction of information process is 100% effective and safe, and can be applied to various communication networks of different types of rolling stock. System Architecture Up to: records 900 alarms/events Data is stored on a server in the cloud, where the records are processed according to its nature. The server nourishes an application which shows data collected in real time. The application can be accessed from any device with internet connection through a Web browser. Smart Motors has also developed a wide range of products for predictive maintenance on signalling and tracks among others.

6 Data visualization interface Web-based interface accessible from any connected device Designed under a dashboard concept Web-based interface accessible through any web browser with network connection. Designed under a dashboard concept, is customizable to individual needs of each user, which differs sensibly from technicians to management positions. It includes a powerful graphic generation module which brings high added-value. Smart Motor solution offers different capabilities, which vary depending on the needs of the costumer, for categorize lists of alarms/events and assign to them a specific pathology. The solution also offers the possibility to create descriptive reports and, when possible, suggest correction procedures to alarms.

7 Thinking Forward XXI SL Degà Bahí 62, Barcelona Spain The information in this document contains general descriptions of the technical options available, which do not always have to be present in individual cases. The required features should therefore be specified in each individual case at the time of closing the contract.